Screen content, which is often computer-generated, has many characteristics distinctly
different from conventional camera-captured natural scene content. Such characteristic …

Point cloud is emerged as a promising media format to represent realistic 3D objects or
scenes in applications, such as virtual reality, teleportation, etc. How to accurately quantify …

Objective quality estimation of media content plays a vital role in a wide range of
applications. Though numerous metrics exist for 2D images and videos, similar metrics are …

We present a novel no-reference quality assessment metric, the image transferred point
cloud quality assessment (IT-PCQA), for 3D point clouds. For quality assessment, deep …

Media production is facing tremendous challenges during processing and transmission, due
to large data volume, high computational complexity and real-time transmission …

In multimedia broadcasting, no-reference image quality assessment (NR-IQA) is used to
indicate the user-perceived quality of experience (QoE) and to support intelligent data …

In this paper, we propose a blind image quality assessment (BIQA) method using self-
attention and a recurrent neural network (RNN); this approach can effectively capture both …

With the widespread of application scenarios such as remote office and cloud collaboration,
Screen Content Video (SCV) and its processing which show different characteristics from …

In this article, we propose a new distortion quantification method for point clouds, the
multiscale potential energy discrepancy (MPED). Currently, there is a lack of effective …

Accurately predicting point cloud quality plays an important role in human vision tasks. This
paper presents an effective and robust objective point cloud quality assessment model …